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Data Cycles
Our Data Cycle sessions equip educators with the resources to execute data-driven instruction efficiently. We back personalized learning strategies that boost student performance and teaching efficacy by pinpointing learning deficiencies and facilitating prompt interventions.


Session Topics
Collection & Management
Provides training on how to collect and organize formative assessment data, student work samples and standardized test results.
Data Analysis Techniques
Introduces educators to methods of data analysis and demonstrates how to identify trends, patterns and outliers in student performance.
Setting SMART Goals
Guides educators in setting specific, measurable, achievable, relevant and time-bound (SMART) goals based on data analysis within district objectives.
Differentiated Instruction Strategies
Trains educators on how to identify student needs and strategize instruction methods based on varied learning styles.
Feedback & Communication
Emphasizes timely and constructive student feedback methods based on performance, and how to communicate with parents and colleagues on their progress.
Technology Integration
Explores tools and technology that facilitates data collection, analysis and reporting while providing hands-on training of educational software platforms.
Monitoring & Adjusting Instruction
Teaches educators how to monitor student progress through ongoing assessment and encourages a process of data collection, analysis implementation and evaluation.
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